Top 7 DOE Software Tools for Engineers (2025)
Why this matters
Good DOE tools help you go beyond “try one factor at a time” and instead design efficient experiments, model curvature (RSM), screen factors, and optimize settings with fewer runs.
1) JMP (SAS) — DOE power with modern designs
What it’s great at: Custom design, Definitive Screening Designs (DSD), mixture & RSM workflows, user-friendly diagnostics.
Learn more: https://www.jmp.com/en/software/capabilities/design-of-experiments jmp.com
DSD overview: https://community.jmp.com/t5/Learning-Center/Definitive-Screening-Design/ta-p/277951 community.jmp.com
2) Design-Expert (Stat-Ease) — the DOE specialist
What it’s great at: Intuitive wizards, power calculations, two-level factorials, mixtures, RSM; super clean workflow for practicing engineers.
Learn more: https://www.statease.com/software/design-expert/ statease.com
Mixture design tutorial: https://www.statease.com/docs/v25.0/tutorials/mixture-designs/ statease.com
3) Minitab — DOE + the broader quality toolkit
What it’s great at: Factorial & fractional factorials, Taguchi, RSM; the Assistant guides beginners through screening → modeling → optimization.
Feature overview: https://www.minitab.com/en-us/products/minitab/features/ minitab.com
RSM overview: https://support.minitab.com/en-us/minitab/help-and-how-to/statistical-modeling/doe/how-to/response-surface/analyze-response-surface-design/before-you-start/overview/ support.minitab.com
Taguchi overview: https://support.minitab.com/en-us/minitab/help-and-how-to/statistical-modeling/doe/supporting-topics/taguchi-designs/taguchi-designs/ support.minitab.com
Assistant white paper (DOE flow): https://support.minitab.com/en-us/minitab/media/pdfs/translate/Assistant_DOE.pdf support.minitab.com
4) SigmaXL (Excel add-in) — practical DOE inside Excel
What it’s great at: Accessible Excel-based DOE (2-level designs, templates, advanced DOE in recent versions); good value for teams that live in spreadsheets.
Product: https://www.sigmaxl.com/SigmaXL.shtml sigmaxl.com
DOE templates: https://www.sigmaxl.com/BasicDOETemplates.shtml sigmaxl.com
5) Statgraphics Centurion — robust classical DOE (RSM focus)
What it’s great at: Factorial designs plus central composite, Box-Behnken, 3-level factorials and more for response-surface optimization.
DOE page: https://www.statgraphics.com/design-of-experiments Statgraphics
6) MoreSteam EngineRoom — cloud analytics with DOE built-in
What it’s great at: Web-based analytics suite (Lean/Six Sigma context) with guided DOE, templates, and collaboration — minimal install/IT friction.
DOE overview: https://www.moresteam.com/lp/learn-doe-with-engineroom MoreSteam
Features: https://www.moresteam.com/engineroom/features-overview MoreSteam
7) Open-source stack — R (DoE.base + friends) & Python (pyDOE2/pyDOE3)
What it’s great at: Free, scriptable, reproducible pipelines; great for power users or teams standardizing on R/Python.
R DoE.base (full factorials, orthogonal arrays; integrates with packages like FrF2 and rsm):
CRAN: https://cran.r-project.org/web/packages/DoE.base/index.html CRAN
Paper (J. Stat. Software): https://www.jstatsoft.org/article/view/v085i05 Journal of Statistical SoftwarePython pyDOE2 / pyDOE3 (factorial, CCD, Box-Behnken, etc.):
PyPI: https://pypi.org/project/pyDOE2/ PyPI
Docs (pyDOE3): https://pydoe3.readthedocs.io/en/stable/ pydoe3.readthedocs.io
How to choose (fast)
New to DOE? Start with JMP or Design-Expert (best onboarding). jmp.com+1
Quality + DOE in one suite? Minitab or EngineRoom. minitab.com+1
Excel-centric team? SigmaXL fits right in. sigmaxl.com
Budget/open source? R (DoE.base) or Python (pyDOE2/pyDOE3). CRAN+2PyPI+2
RSM/optimization focus? Statgraphics (classical RSM menus) or any of the above with RSM modules. Statgraphics
Next step (if you want structure + practice)
If you prefer a guided path with assignments before (or alongside) software, try the Excedify DOE Training Program — fully online with a free preview so you can gauge fit:
https://www.excedify.com/